Artificial intelligence applied to agriculture for the optimization of production, revenue and reduction of waste
Telesca, Donato (A.A. 2022/2023) Artificial intelligence applied to agriculture for the optimization of production, revenue and reduction of waste. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 54. [Master's Degree Thesis]
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Abstract/Index
General context on the importance of sustainable agriculture. Problem statement. Purpose of the report: how AI and satellite data can contribute to more efficient management. Foundations of artificial intelligence. The role of AI in the agricultural sector. The reasons behind precision agriculture. the spread of precision agriculture worldwide. Difficulties on spread od PA. Economic aspect analysis. Tecnologie satellitari per il monitoraggio del terreno. Currently used satellite technologies. Operating principle. Crop mapping. Evaluation of land cover. Environmental change monitoring. Groundwater level assessment. Assessment of soil nutritional aspect. Summary of collectible data that will become inputs for AI. Practical applications of AI with satellite data. data collection for the farmer. Data detection and processing. Operational section. Case study and optimized resource implementation.
References
Bibliografia: pp. 52-53.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
| Chair: | Managerial decision making |
| Thesis Supervisor: | Marengo, Luigi |
| Thesis Co-Supervisor: | Jell-Ojobor, Maria |
| Academic Year: | 2022/2023 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 18 Jul 2024 12:58 |
| Last Modified: | 18 Jul 2024 12:58 |
| URI: | https://tesi.luiss.it/id/eprint/39407 |
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